
"""simple docstring"""






from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_pt_objects import *  # noqa F403
else:
					from .scheduling_consistency_models import CMStochasticIterativeScheduler
					from .scheduling_ddim import DDIMScheduler
					from .scheduling_ddim_inverse import DDIMInverseScheduler
					from .scheduling_ddim_parallel import DDIMParallelScheduler
					from .scheduling_ddpm import DDPMScheduler
					from .scheduling_ddpm_parallel import DDPMParallelScheduler
					from .scheduling_deis_multistep import DEISMultistepScheduler
					from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
					from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
					from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
					from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
					from .scheduling_euler_discrete import EulerDiscreteScheduler
					from .scheduling_heun_discrete import HeunDiscreteScheduler
					from .scheduling_ipndm import IPNDMScheduler
					from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
					from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
					from .scheduling_karras_ve import KarrasVeScheduler
					from .scheduling_pndm import PNDMScheduler
					from .scheduling_repaint import RePaintScheduler
					from .scheduling_sde_ve import ScoreSdeVeScheduler
					from .scheduling_sde_vp import ScoreSdeVpScheduler
					from .scheduling_unclip import UnCLIPScheduler
					from .scheduling_unipc_multistep import UniPCMultistepScheduler
					from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
					from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_flax_objects import *  # noqa F403
else:
					from .scheduling_ddim_flax import FlaxDDIMScheduler
					from .scheduling_ddpm_flax import FlaxDDPMScheduler
					from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
					from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
					from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
					from .scheduling_pndm_flax import FlaxPNDMScheduler
					from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
					from .scheduling_utils_flax import (
					    FlaxKarrasDiffusionSchedulers,
					    FlaxSchedulerMixin,
					    FlaxSchedulerOutput,
					    broadcast_to_shape_from_left,
					)


try:
					if not (is_torch_available() and is_scipy_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
					from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
					if not (is_torch_available() and is_torchsde_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
					from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler




"""simple docstring"""






from itertools import count




def __magic_name__	(				_lowerCamelCase:		int = 50			)					->						int:

	'''simple docstring'''




	lowerCAmelCase												=  [1] * min_block_length

	for n in count(_lowerCamelCase			):
		fill_count_functions.append(1			)

		for block_length in range(_lowerCamelCase,					n + 1			):
			for block_start in range(n - block_length			):
				fill_count_functions[n] += fill_count_functions[
				    n - block_start - block_length - 1
				]

			fill_count_functions[n] += 1

		if fill_count_functions[n] > 1_000_000:
			break

	return n


if __name__ == "__main__":
					print(f"""{solution() = }""")


